Statistical results from EFM can be imported to GeoEFM for visualization.  This is a different workflow than using a river hydraulics model to generate spatial layers based on EFM results (Figure 1).  Instead, statistical results (or derivations based on those results) are associated with locations and then plotted.  Information for plotting is stored in three basic data tables: Locations, Relationships, and Datasets (Figure 21). 

Figure 21.  Overview and data tables related to GeoEFM mapping of spatial statistics.

Locations

Locations are spatial points where values are displayed.  Locations are comprised of names and associated coordinates.  This information can be defined by selecting appropriate fields in existing GIS data sources, by pasting from a spreadsheet, or by entering names and clicking on corresponding location in GIS (Figure 22).  The Locations table in GeoEFM should have all locations where the user may choose to display data values.  Locations can be added or edited through the Locations and Relationships interface.  Locations names must be unique.  Locations can be removed via the Manage Locations interface by highlighting a location row and clicking the delete button.

Figure 22.  Locations are added and edited via the Locations and Relationships interface.

Relationships

For spatial statistics, relationships describe the type of values available for display and are comprised only of a name.  Names are typically adopted from EFM projects though GeoEFM users are not constrained to only EFM relationship names while working with spatial statistics.  Instead, GeoEFM allows users to specify whichever Relationships they may want to display data values for.  Relationships can be added and edited through the Locations and Relationships interface (Figure 23).  Relationship names must be unique.

Please note that spaces will be removed from relationship names after those names are entered or imported as part of a dataset (see section 5.5.3).  This can create disconnects between relationship names and associated data values, which makes those data unplottable during visualization (see section 5.5.4).  For spatial statistics, it is best to avoid spaces in relationship names.  Spaces in location names are acceptable.

Figure 23.  Relationships are added and edited via the Locations and Relationships interface.

Groups are collections of flow regimes and relationships that can later be used to create quick plots of spatial statistics.  Groups are created, renamed, copied, and deleted through the Groups tab in the Locations and Relationships interface (Figure 24).  Group membership is managed through a picker that displays lists of potential and current members and allows members to be added or removed from the group.

Figure 24.  Locations and Relationships may be added to Groups to expedite plotting.

Datasets

Datasets are tables of values imported by the user and then available for display.  Format is important.  Location names are in the first column and relationship names are in the first row.  There can be many datasets.  Each dataset does not need to include all locations or relationships though all desired locations and relationships in a dataset must be in the Locations and Relationships tables to be available for display.  Dataset values do not need to be entered for each pairing of location and relationship; blank values will simply plot as blanks if requested.  Dataset names must be unique to project.

Datasets may be imported from GIS by selecting the appropriate data source from a list of available feature classes and shapefiles (list is per data frame) and then identifying attributes for Locations and Relationships.  Location names are imported as the values associated with the Location attribute.  Relationship names are imported as the names associated with the Relationship attributes.  Dataset values are imported as the values associated with each of the selected Relationships.

Datasets may also be created via a Paste from Excel option.  Users simply copy-paste a table of information with location names in the first column, relationship names in the first row, and data values in the body of the table (Figure 25).  Once created, datasets can be selected and edited using the Manage Datasets tab.

Figure 25.  Datasets are added and edited in the Spatial Datasets interface.

Visualization

After the Locations, Relationships, and Dataset tables are populated, data values may be viewed spatially.  To create a plot, select the relevant Dataset, enter a custom name for the output layer (optional), adjust chart type and symbology as desired, select relevant locations and relationships (or groups), and click the Plot button (Figure 26).  Output layers are shown in the active Standard View and associated in accordance with Auto-List settings.

Three chart types are available: bar, pie, and stacked.  Colors can be adjusted by switching the start and end of ramp colors.  Double-clicking the filled Color Ramp boxes will open a Color Selector that allows selection of a new start or end color.  The Color Schemes list offer palette options for ramping between the start and end colors.  A preview of colors can be refreshed by clicking the Show Color Ramp label.

When the Plot button is clicked, an output layer will be displayed as part of the active data frame.  Output layer names do not need to be unique, though duplicate names will replace the existing output layer, which allows easy updating of output layers.

Figure 26.  Plots are created and updated via the Visualize Spatial Parameters interface.

Please note that Datasets should be edited via the Spatial Datasets - Manage Datasets interface.  Datasets are viewable in the Visualize Spatial Parameters interface for informational purposes only.  Any manual changes to dataset values through the visualize interface will not be reflected in plots.